Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Kensuke, Kawamura"'
Autor:
Aung Zaw Oo, Hidetoshi Asai, Kensuke Kawamura, Junichiro Marui, Kazuhiko Nakahara, Toshiyuki Takai, Hiroki Saito, Khin Thuzar Win, Juan Pariasca-Tanaka
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Rice with a black-colored pericarp (hereafter, black rice) has attracted considerable attention because of its high nutritional value. It is traditionally grown in infertile agroecosystems, where soil nutrient deficiency would affect grain yield and
Externí odkaz:
https://doaj.org/article/4c8bb51671c14aa085a6b9d11f9aed12
Autor:
Yu Tanaka, Tomoya Watanabe, Keisuke Katsura, Yasuhiro Tsujimoto, Toshiyuki Takai, Takashi Sonam Tashi Tanaka, Kensuke Kawamura, Hiroki Saito, Koki Homma, Salifou Goube Mairoua, Kokou Ahouanton, Ali Ibrahim, Kalimuthu Senthilkumar, Vimal Kumar Semwal, Eduardo Jose Graterol Matute, Edgar Corredor, Raafat El-Namaky, Norvie Manigbas, Eduardo Jimmy P. Quilang, Yu Iwahashi, Kota Nakajima, Eisuke Takeuchi, Kazuki Saito
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Rice (Oryza sativa L.) is one of the most important cereals, which provides 20% of the world’s food energy. However, its productivity is poorly assessed especially in the global South. Here, we provide a first study to perform a deep-learning-based
Externí odkaz:
https://doaj.org/article/33fee4340fb848de8ab3297238874e73
Autor:
Mohammad I. Haqani, Kensuke Kawamura, Atsushi Takenouchi, Mohammad H. Kabir, Yoshiaki Nakamura, Akira Ishikawa, Masaoki Tsudzuki
Publikováno v:
The Journal of Poultry Science, Vol 58, Iss 2, Pp 88-96 (2021)
This study aimed to evaluate the differences between the growth patterns of large- and normal-sized Japanese quail strains and their F1 progeny, by fitting their growth parameter values to five nonlinear regression growth models (Weibull, Logistic, G
Externí odkaz:
https://doaj.org/article/995bd2c35b374b7fb3b8892d8a727117
Publikováno v:
Nihon Chikusan Gakkaiho; 2024, Vol. 95 Issue 3, p211-221, 11p
Autor:
Kensuke Kawamura, Tomohiro Nishigaki, Yasuhiro Tsujimoto, Andry Andriamananjara, Michel Rabenaribo, Hidetoshi Asai, Tovohery Rakotoson, Tantely Razafimbelo
Publikováno v:
Plant Production Science, Vol 24, Iss 1, Pp 1-14 (2021)
Laboratory visible and near-infrared (Vis-NIR) spectroscopy with partial least squares (PLS) regression can be used to determine the soil carbon (C) content, and the waveband selection procedures can refine the predictive ability. However, individual
Externí odkaz:
https://doaj.org/article/f32b8b0d2a46417ba64da4d1789cf4b3
Autor:
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Pheunphit Soisouvanh, Sengthong Phongchanmixay
Publikováno v:
Plant Production Science, Vol 0, Iss 0, Pp 1-18 (2020)
In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest
Externí odkaz:
https://doaj.org/article/09fe6725aa52403b9fa3105e834fd1a1
Autor:
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Phanthasin Khanthavong, Pheunphit Soisouvanh, Sengthong Phongchanmixay
Publikováno v:
Plant Production Science, Vol 23, Iss 4, Pp 452-465 (2020)
Plant height (PH) is an important agronomical parameter to assess the growth status in upland rice fields. Recently, field-based phenotyping using unmanned aerial vehicles (UAVs) has received increasing attention as a cost-effective, well-suited sens
Externí odkaz:
https://doaj.org/article/3e92f26722394976a7fd291908867536
Autor:
Toshiyuki Takai, Yojiro Taniguchi, Megumu Takahashi, Hideki Nagasaki, Eiji Yamamoto, Sakiko Hirose, Naho Hara, Hiroko Akashi, Jun Ito, Yumiko Arai‐Sanoh, Kiyosumi Hori, Shuichi Fukuoka, Hidemitsu Sakai, Takeshi Tokida, Yasuhiro Usui, Hirofumi Nakamura, Kensuke Kawamura, Hidetoshi Asai, Takuma Ishizaki, Kyonoshin Maruyama, Keiichi Mochida, Nobuya Kobayashi, Motohiko Kondo, Hiroyuki Tsuji, Yasuhiro Tsujimoto, Toshihiro Hasegawa, Yusaku Uga
Publikováno v:
The Plant Journal. 114:729-742
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c52417f40287dd278ce16c870da19b06
https://doi.org/10.1111/tpj.16143
https://doi.org/10.1111/tpj.16143
Autor:
Kensuke Kawamura, Tomohiro Nishigaki, Andry Andriamananjara, Hobimiarantsoa Rakotonindrina, Yasuhiro Tsujimoto, Naoki Moritsuka, Michel Rabenarivo, Tantely Razafimbelo
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1519 (2021)
As a proximal soil sensing technique, laboratory visible and near-infrared (Vis-NIR) spectroscopy is a promising tool for the quantitative estimation of soil properties. However, there remain challenges for predicting soil phosphorus (P) content and
Externí odkaz:
https://doaj.org/article/35e4cc0feb0e4e45b4be467ce0380c33
Autor:
Haqani, Mohammad I.1, Kensuke Kawamura2, Atsushi Takenouchi3, Kabir, Mohammad H.1, Yoshiaki Nakamura1,3,4, Akira Ishikawa4,5 ishikawa@agr.nagoya-u.ac.jp, Masaoki Tsudzuki1,3,4 tsudzuki@hiroshima-u.ac.jp
Publikováno v:
Journal of Poultry Science. 2021, Vol. 58 Issue 2, p88-96. 9p.